Epileptic seizure detection by using interpretable machine learning models.
Xuyang ZhaoNoboru YoshidaTetsuya UedaHidenori SuganoToshihisa TanakaPublished in: Journal of neural engineering (2023)
Processing EEG data in the form of images can flexibility to use a variety of machine learning models. The imbalance problem that exists widely in clinical practice is well solved by the RCO method. Since the method follows the visual diagnosis mechanism of clinical experts, the model interpretation results can be presented to clinical experts intuitively, and the quantitative information provided by the model is also a good diagnostic reference.